IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-54897-5.html
   My bibliography  Save this article

Paradigm of engineering recalcitrant non-model microorganism with dominant metabolic pathway as a biorefinery chassis

Author

Listed:
  • Xiongying Yan

    (Hubei University)

  • Weiwei Bao

    (Hubei University)

  • Yalun Wu

    (Hubei University)

  • Chenyue Zhang

    (Xi’an Jiaotong University)

  • Zhitao Mao

    (Chinese Academy of Sciences)

  • Qianqian Yuan

    (Chinese Academy of Sciences)

  • Zhousheng Hu

    (Hubei University)

  • Penghui He

    (Hubei University)

  • Qiqun Peng

    (Hubei University)

  • Mimi Hu

    (Hubei University)

  • Binan Geng

    (Hubei University)

  • Hongwu Ma

    (Chinese Academy of Sciences)

  • Shouwen Chen

    (Hubei University)

  • Qiang Fei

    (Xi’an Jiaotong University)

  • Qiaoning He

    (Hubei University)

  • Shihui Yang

    (Hubei University)

Abstract

The development and implementation of microbial chassis cells have profound impacts on circular economy. Non-model bacterium Zymomonas mobilis is an excellent chassis owing to its extraordinary industrial characteristics. Here, the genome-scale metabolic model iZM516 is improved and updated by integrating enzyme constraints to simulate the dynamics of flux distribution and guide pathway design. We show that the innate dominant ethanol pathway of Z. mobilis restricts the titer and rate of these biochemicals. A dominant-metabolism compromised intermediate-chassis (DMCI) strategy is then developed through introducing low toxicity but cofactor imbalanced 2,3-butanediol pathway, and a recombinant D-lactate producer is constructed to produce more than 140.92 g/L and 104.6 g/L D-lactate (yield > 0.97 g/g) from glucose and corncob residue hydrolysate, respectively. Additionally, techno-economic analysis (TEA) and life cycle assessment (LCA) demonstrate the commercialization feasibility and greenhouse gas reduction capability of lignocellulosic D-lactate. This work thus establishes a paradigm for engineering recalcitrant microorganisms as biorefinery chassis.

Suggested Citation

  • Xiongying Yan & Weiwei Bao & Yalun Wu & Chenyue Zhang & Zhitao Mao & Qianqian Yuan & Zhousheng Hu & Penghui He & Qiqun Peng & Mimi Hu & Binan Geng & Hongwu Ma & Shouwen Chen & Qiang Fei & Qiaoning He , 2024. "Paradigm of engineering recalcitrant non-model microorganism with dominant metabolic pathway as a biorefinery chassis," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54897-5
    DOI: 10.1038/s41467-024-54897-5
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-54897-5
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-54897-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Alexander Kroll & Yvan Rousset & Xiao-Pan Hu & Nina A. Liebrand & Martin J. Lercher, 2023. "Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54897-5. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.